A 32 nm Embedded, Fully-Digital, Phase-Locked Low Dropout Regulator for Fine Grained Power Management in Digital Circuits

Gangopadhyay, Samantak; Somasekhar, Dinesh; Tschanz, James; Raychowdhury, Arijit

doi:10.1109/jssc.2014.2353798

Cited by 67 publications

(13 citation statements)

References 6 publications

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“…To ensure and stale the power supplying unit, the human machine interface between human and power grid is initialized [17]. The IEEE802.11 (WLAN) [18], IEEE 802.15 (WPAN) [19], and IEEE802.15.4 (LR-WPAN) [11]. In the design, the home gateway known as VEN which is exposed to the human power factor utilization and how much power consumption they have used and how amount of power cost is deduced in daily basis.…”

Section: A Iot Based Energy Management Systemmentioning

confidence: 99%

IOT based Energy Management System for an Autonomous Hybrid Micro-Grid

2019

IJITEE

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Raising rate and require of power has led a lot of organizations to discover elegant ways for monitoring, controlling and reduction energy. To create an innovative idea to reduce the rate of energy consumption smart EMS (Energy Management System) is proposed in this paper. To develop IoT technologies and Big Data is used to improved hold energy utilization in commercial, housing and industrial sectors. An EMS is used to build smart homes is proposed for he developed cities. In this system, every residence tool is interfaced with a data attainment module that is an IoT object with an exclusive IP address ensuing in a huge mesh wireless network of devices. The data gaining SoC (System on Chip) module collects energy utilization data from every device of every stylish residence and send data to a centralized server for supplementary handing out and study. This information from all housing areas accumulates in the utility’s server as Big Data. EMS consumes off-the-shelf BI (Business Intelligence) and Big Data surveys software packages which improves the energy usages also to assemble user order. While air conditioning gives to 60% of power use in American countries, HVAC (Ventilation, Air Conditioning and Heating) are in use as a research to approve the proposed system.

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Section: A Iot Based Energy Management Systemmentioning

confidence: 99%

IOT based Energy Management System for an Autonomous Hybrid Micro-Grid

2019

IJITEE

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“…where t rise (V RIPPLE MAX ) can be estimated using (13). Since the upper bound of the ripple magnitude is used in the above estimation, the obtained result should be the lower bound of the ripple frequency, noting that the larger the ripple magnitude is, the larger t rise is.…”

Section: Modelling Ldo Output Steady-state Ripplementioning

confidence: 99%

“…Finally, the positive root of (36) corresponds to the rise time of the LDO output to ±ΔV ref . Its solution is given explicitly in (13).…”

Section: Appendixmentioning

confidence: 99%

“…With the wide use of fine-grain power management in modern VLSI circuits [1,2], digital low dropout (LDO) voltage regulators are gaining significant research interests and a large number of digital LDO circuits are recently reported [3][4][5][6][7][8][9][10][11][12][13][14][15][16][17]. The transition from analog to digital LDOs is mainly due to the difficulties in designing power-efficient high-gain amplifiers at low-voltage and advanced technology nodes.…”

Section: Introductionmentioning

confidence: 99%

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Digital LDO modelling techniques for performance estimation at early design stage

Leitner

Wang

2018

IET Circuits, Devices & Systems

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This work studies the transient responses and steady-state ripples of digital low dropout (LDO) voltage regulators. Simulation models as well as closed-form expressions are provided for estimating the LDO output settling behaviour after load current or reference voltage changes. Estimation equations for the magnitude and frequency of LDO output steady-state ripples are also presented. The accuracy of the developed models is verified by comparing estimation data with results obtained from circuit simulations. The use of the developed estimation equations in design space exploration is also demonstrated.

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“…Literature [13] proposed a DLDO based TSPC which has achieved a faster loop time with the penalty of degrading of current efficiency. Literature [14] proposed a DLDO controlled by phase-locked clock, which achieves a fast transient response, but the stacking of power PMOS causes a drop of current efficiency and make it unable to work at very low voltages. A DLDO combined coarse-tuning and fine-tuning (CFT) proposed by [15] makes a good tradeoff between power consumption and transient response time, but it needs two clock, which make a large area overhead.…”

Section: Introductionmentioning

confidence: 99%

A Fast-Transient All-Digital LDO with Adaptive Clock Technique

Jia

Qiao

et al. 2019

Electronics

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To get a better tradeoff between the transient performance and current efficiency of Digital Low-Dropout (DLDO) regulator, this paper proposes an all-digital Low-Dropout (LDO) regulator with adaptive clock technique. The sample clock is supplied by a proposed digital oscillator (DOSC) whose output frequency can be changed seamlessly. The frequency of sample clock and loop gain boost adaptively when the output voltage undershoot/overshoot is detected. Proposed DLDO integrates a ripple controller to eliminate steady-state supply ripple and reduce steady-state power. The proposed DLDO is simulated at Semiconductor Manufacturing International Corporation (SMIC) 55 nm with 5.03e-4 mm2 active area. The simulation results show that the operating voltage of proposed DLDO can be down to 0.5 V and the peak current efficiency is 99.99%. The measured voltage undershoot is 40 mV and transient response time is 500 ns with load step of 10 to 800 uA.

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A 32 nm Embedded, Fully-Digital, Phase-Locked Low Dropout Regulator for Fine Grained Power Management in Digital Circuits

Cited by 67 publications

References 6 publications

IOT based Energy Management System for an Autonomous Hybrid Micro-Grid

IOT based Energy Management System for an Autonomous Hybrid Micro-Grid

Digital LDO modelling techniques for performance estimation at early design stage

A Fast-Transient All-Digital LDO with Adaptive Clock Technique

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